{"title":"Stochastic multi-scale modeling for estimating the Mode-I dynamic fracture toughness of CNT-reinforced polymers","authors":"Reza Yazdanparast, Roham Rafiee","doi":"10.1016/j.compositesa.2025.108882","DOIUrl":null,"url":null,"abstract":"<div><div>A stochastic hierarchical multiscale model is developed to estimate the Mode-I dynamic fracture toughness of CNT-reinforced polymers, capturing both processing-induced inconsistencies and strain rate effects. At the nanoscale, molecular dynamic simulations of CNT pull-out from the matrix are performed to analyze the CNT-polymer interfacial properties at various pull-out speeds. At the microscale, a rate-dependent finite element model is established to characterize the pull-out profiles for different CNT lengths, orientations, and waviness at various pull-out speeds. Then, the CNT bridging phenomenon along the crack growth path is modeled considering viscoelastic-viscoplastic behavior for the matrix. The influence of CNT lengths, waviness patterns, orientations, and volume fractions at the microscale, as well as CNT agglomeration effects at the mesoscale, on critical fracture energy (G<sub>ID</sub>) are determined. At the macroscale, stochastic simulation is performed to estimate G<sub>ID</sub> treating involved uncertainties as random variables. Predicted results are in very good agreement with experimental observations.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"194 ","pages":"Article 108882"},"PeriodicalIF":8.1000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Composites Part A: Applied Science and Manufacturing","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359835X25001769","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
A stochastic hierarchical multiscale model is developed to estimate the Mode-I dynamic fracture toughness of CNT-reinforced polymers, capturing both processing-induced inconsistencies and strain rate effects. At the nanoscale, molecular dynamic simulations of CNT pull-out from the matrix are performed to analyze the CNT-polymer interfacial properties at various pull-out speeds. At the microscale, a rate-dependent finite element model is established to characterize the pull-out profiles for different CNT lengths, orientations, and waviness at various pull-out speeds. Then, the CNT bridging phenomenon along the crack growth path is modeled considering viscoelastic-viscoplastic behavior for the matrix. The influence of CNT lengths, waviness patterns, orientations, and volume fractions at the microscale, as well as CNT agglomeration effects at the mesoscale, on critical fracture energy (GID) are determined. At the macroscale, stochastic simulation is performed to estimate GID treating involved uncertainties as random variables. Predicted results are in very good agreement with experimental observations.
期刊介绍:
Composites Part A: Applied Science and Manufacturing is a comprehensive journal that publishes original research papers, review articles, case studies, short communications, and letters covering various aspects of composite materials science and technology. This includes fibrous and particulate reinforcements in polymeric, metallic, and ceramic matrices, as well as 'natural' composites like wood and biological materials. The journal addresses topics such as properties, design, and manufacture of reinforcing fibers and particles, novel architectures and concepts, multifunctional composites, advancements in fabrication and processing, manufacturing science, process modeling, experimental mechanics, microstructural characterization, interfaces, prediction and measurement of mechanical, physical, and chemical behavior, and performance in service. Additionally, articles on economic and commercial aspects, design, and case studies are welcomed. All submissions undergo rigorous peer review to ensure they contribute significantly and innovatively, maintaining high standards for content and presentation. The editorial team aims to expedite the review process for prompt publication.